Our technical report on data-driven control is out
Outputs are regulated to around zero for all noise realizations © 2021 EPFL
The paper, entitled "A Data-Driven Convex Programming Approach to Worst-Case Robust Tracking Controller Design", uses behavioral system theory to provide a convex-programming-based framework for solving worst-case optimal tracking problems in a data-driven fashion. It also guarantees that input/output constraints are always satisfied when the output data are noisy and inputs have disturbances.
We congratulate all contributing authors!